Five mixed primary schools from the district of Tikrit/ Salah al- din province
with a total of 100 male and female pupils and two ages(8-9 and 10-11 years),
were selected randomly to study the relationship between the breakfast meal and
the academic level, the socioeconomic situation, and the number of family
members. The study showed a positive linear correlation between the morning
meal, and academic level of students for both two covered ages, also showed a
clear impact between the development of family's socioeconomic situation and
their nutrition level. There were an increase in the percentage of pupils aged 8-9
years with a poor nutrition when they were belonged to a poor or medium
socioeconomic families, with the absence of students with poor nutrition at the
improvement family level to very good. The medium level of nutrition indicates a
higher percentage when the students belongs to a good economic situation, while
the level good and very good nutrition gives an increase in the percentage of
students; with the improvement at the socioeconomic level of the family with a
different rates of increasing, noting the absence of students with good and
very good nutrition in the case of inferior status of the family. Same relationship for
pupils aged 10-11 were shown. Also there were an effect of the number of family
members to which these students were belonged on the level of nutrition, there
were a decrease in the level of nutrition for these students commensurate with the
increase in family members for both two covered age. From this we can conclude
that there were an opposite effect for both of the socioeconomic situation, and the
number of family members on the academic level of the students for both two
covered ages.
הסיכום
הסיפורת העברית באמריקה, הייתה קשורה בסביבה מסויימה. גם כן היא קשורה בנושאים מסויימים, ורובם היו מדברים על חיי היהודים באמריקה.
דמותו של שמעון הלקין קבועה בנפשם של המבקרים כזו של משורר בעי
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Due to the lack of previous statistical study of the behavior of payments, specifically health insurance, which represents the largest proportion of payments in the general insurance companies in Iraq, this study was selected and applied in the Iraqi insurance company.
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The current researsh is aimed to pay attention on concept of human resources hard (Difficult) to manage. Such style of human resourcses has emerged to form anew challenge for busniess organizations.
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In nutshell, this researsh try to recommendation of contemporary literature about future of difficult (hard) human resources management.
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Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficac
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